MARK AI Robot Kit Aims to Teach AI & Robotics to 12+ Years Old (Crowdfunding)

MARK AI Robot Kit fot Education

We’ve written about Kendryte K210 RISC-V AI processor, and Sipeed M1 module several times including in our getting started for Maixduino and GroveAI HAT boards for low-power AI inference such as object recognition or face detection using Arduino and Micropython programming. Shenzhen-based Tinkergen, a STEM Education owned by Seeed Studio, has now leveraged the low-cost processor to design MARK AI robot kit, where MARK stands for Make A Robot Kit, in order to processor an educational AI Robotics platform for children ages 12 years old and more. MARK will ship as a kit with the main parts and components including a chassis, a cover, two wheels, stepper motors, a pan-tilt camera with K210 processor, a 2.4″ LCD display, Grove & Arduino compatible MARKduino interface board, some sensors, and six AA batteries. Tinkergen offers pre-trained model to recognized objects like humans, books, pens, or smartphones, as well as traffic signs, numbers […]

Sipeed MaixCube is a Fully Integrated AI Development Platform Powered by Kendryte K210 RISC-V SoC

MaixCube All-in-one K210 Development Platform

Sipeed has made several boards and kits based on Kendryte K210 RISC-V processor for low-power AI workloads such as face detection or object recognition including Maixduino board and Grove AI HAT that ship with camera and display. The company has now come up with MaixCube all-in-one development platform that houses Sipeed M1 module, a display, a camera, and a battery into a plastic case that’s somewhat similar to MStack M5StickV but with a larger display, and variations in the form factor and features. Sipeed MaixCube specifications: SoC – Kendryte K210 dual-core 64-bit RISC-V processor @ 400 MHz (overclockable to 600 MHz) with FPU, 8MB SRAM, KPU AI accelerator, APU audio processor, and FFT accelerator Storage – 128 Mbit flash, MicroSD card slot Display – 1.3″ TFT screen with 240×240 resolution Camera – OV7740 sensor (VGA camera) Audio – Built-in microphone, external speakers support; ES8374 audio codec USB – 1x USB […]

Sipeed M1n is a $10 M.2 Module based on K210 RISC-V AI Processor

Sipeed M1n with Camera & USB-C adapter

Kendryte K210 is a RISC-V processor with AI accelerator found in boards such as Maixduino, Grove AI HAT, or HuskyLens among others, and enabling low-cost, low power AI applications such as face detection or object recognition. You can now add Kendryte K210 AI accelerator to any board or computer with M.2 socket or [Update: the M.2 connector pinout is non-standard] a USB-C port thanks to Sipeed M1n M.2 module that also comes with an M.2 to USB-C adapter. Sipeed M1n specifications: SoC – Kendryte K210 dual-core 64-bit RISC-V processor @ up to 400MHz with FPU, Neural-network Processing Unit (NPU), audio processor, built-in 6MB SRAM memory for CPU, and 2MB AI SRAM Storage – 128Mbit SPI flash Camera – 24-pin connector for DVP camera (OV0328 camera module provided as part of the kit) Host Interface – M.2 socket with some IOs and JTAG interface, accessible via Maix Nano M.2 to USB-C […]

How to Build & Run Linux on Kendryte K210 RISC-V NOMMU Processor

RISCV64 NOMMU Menuconfig

A few months ago, we wrote that Western Digital was working on Linux & BusyBox RISC-V NOMMU, and managed to boot a minimal Linux OS on Kendryte K210 powered Sipeed Maix Go board. RISC-V NOMMU support was scheduled for Linux 5.5, and now that the new kernel has been released, Damien Le Moal has pushed the code allowing to build Linux and a busybox based roofs for RISC-V 64-bit NOMMU platforms using buildroot. I could start the build following the instructions on Github, but it failed as a Linux 5.6 RC1 tarball was missing. But I noticed “Vowstart” picked up on Damien’s work, and wrote detailed instructions. So let’s try the build out using a machine running Ubuntu 18.04. We’ll have to make sure dependencies are installed first:

Then we can retrieve the source code and do some preparations (e.g. extract Linux 5.6 RC1 tarball):

The next step […]

Western Digital Made RISC-V Linux & BusyBox Boot on Sipeed Maix Go Board

The other day we wrote about Getting Started with Embedded Linux on RISC-V in QEMU emulator and noted that Linux capable RISC-V hardware is currently fairly expensive. We also mentioned there was work on porting uCLinux to Kendryte K210 RISC-V processor on boards such as Sipeed Maix board. The processor only comes with 8MB RAM, and does not feature an MMU (Memory Management Unit) so what you’d be able to do on the board would be limited, and for instance, a desktop environment is clearly impossible on the platform. NOMMU support also requires some extra work, and in Linux 5.4 we saw only of the changes was “SiFive PLIC IRQ chip modifications, in preparation for M-mode Linux”. The slide above is extracted from the “RISC-V NOMMU and M-Mode Linux” presentation by Damien Le Moal, Western Digital at the Linux Plumbers Conference 2019 last September. It explains M-mode support is better […]

Giveaway Week Winners – November 2019

giveaway week 2019

We just had another of our yearly “Giveaway week” on CNX Software with 7 prizes including Arm and RISC-V development boards, NB-IoT tracker, USB-C hub, as well as development kits based on ESP32 or ESP8266 WiSoCs. People just had to comment within a 48 hours period, and we would randomly select a winner each day. We now have all confirmed winners with a strong start from Europe, Asia catching up mid-week, before with Poland and Brazil taking the week-end prizes: Balena Fin Developer Kit – Laurent H, FRANCE WisCellular NB-IoT & eMTC GPS Tracker – Jimmy, SWEDEN MINIX NEO S1 USB-C Hub with 120GB built-in SSD – Jeroen, BELGIUM Maixduino Sipeed M1 RISC-V AI Kit – Nguyen Tung, VIETNAM ANAVI Gas Detector Starter Kit – Bumsik Kim, SOUTH KOREA Particle Mesh IoT Development Kit – Wojciech Lubicz-Lapinski, POLAND NanoPi M4V2 SBC & Metal Case Kit – Thiago Tavares, BRAZIL I […]

Giveaway Week – Maixduino Sipeed M1 RISC-V AI Kit

Maixduino giveaway

For the fourth day of Giveaway Week, I’ll give out a kit comprised of Maixduino a RISC-V development board with an AI accelerator in Arduino form factor, a camera, and a 2.4″ color LCD. I tested the Maixduino kit with MicroPython, but it can also be programmed with the Arduino IDE, or Kendryte SDK. It basically allows you to run low-power AI workloads at the edge, i.e. without access to the cloud, such as face detection. To enter the draw simply leave a comment below. Other rules are as follows: Only one entry per contest. I will filter out entries with the same IP and/or email address. Contests are open for 48 hours starting at 10 am (Bangkok time) every day. Comments will be closed after 48 hours. If comments are open, the contest is still going on. Winners will be selected with random.org and announced in the comments section […]

Getting Started with Sipeed M1 based Maixduino Board & Grove AI HAT for Raspberry Pi

Grove AI HAT Face Detection

Last year we discovered Kendryte K210 processor with a RISC-V core and featuring AI accelerators for machine vision and machine hearing. Soon after,  Sipeed M1 module was launched with the processor for aroud $10. Then this year we started to get more convenient development board featuring Sipeed M1 module such as Maixduino or Grove AI Hat. Seeed Studio sent me the last two boards for review. So I’ll start by showing the items I received, before showing how to get started with MicroPython and Arduino code. Note that I’ll be using Ubuntu 18.04, but development in Windows is also possible. Unboxing I received two packages with a Maixduino kit, and the other “Grove AI HAT for Edge Computing”. Grove AI HAT for Edge Computing Let’s start with the second. The board is a Raspberry Pi HAT with Sipeed M1 module, a 40-pin Raspberry Pi header, 6 grove connectors, as well […]